Projects were done under the mentorship of Dr. Christian Alis.

In this course, students study the foundational concepts of data mining (extracting patterns from data) and data wrangling (collecting, extracting, transforming, and cleaning data into a form usable for further analysis). They learn fundamental data mining and wrangling techniques and are exposed to various real-world applications. Moreover, students acquire the basic skills to identify specific data needs of clients on top of learning the more technical/computational data mining skills. Data Mining and Wrangling also train students on how to extract data from various sources: the web, APIs, and databases, in addition to dealing with datasets in various formats.